{"id":"W6886959779","doi":"10.15468/dl.g86m3k","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000843772,0.002126473,0.001526707,0.004771399,0.0009782037,0.002379741,0.002785607,0.001897665,0.139934],"category_scores_gemma":[0.005710931,0.0008898315,0.001241481,0.009600738,0.0004293224,0.002155413,0.002448899,0.001833706,0.1964321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633249,"about_ca_system_score_gemma":0.002392376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02563301,"about_ca_topic_score_gemma":0.0428636,"domain_scores_codex":[0.9990338,0.000121879,0.0001255418,0.0003463193,0.0002159642,0.0001565304],"domain_scores_gemma":[0.9978787,0.0005812298,0.0002056618,0.0005460286,0.0005555744,0.0002328534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003415697,0.00001212556,0.0004240026,0.000595046,0.00001631047,0.00001620844,0.00002673138,0.0001480484,0.0001333869,0.0004101413,0.9964825,0.001701359],"study_design_scores_gemma":[0.00007486662,0.000009657507,0.001909043,0.0001903126,0.00001567777,0.00004105675,0.00007346304,0.0001830396,0.0002009904,0.0008035495,0.9964798,0.00001863743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000490713,0.00003070443,0.00004796392,0.0000331515,0.00001144218,0.000005241749,0.9986993,0.0004729913,0.0006501764],"genre_scores_gemma":[0.0001530256,0.00003413606,0.0002212556,0.00004042701,0.00000283414,0.00003539428,0.9989374,0.0001471756,0.0004283525],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8600661,"threshold_uncertainty_score":0.4681258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}